Triple
T17782918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria Miro Gallery |
E443941
|
entity |
| Predicate | hasExhibitionSpaceFeature |
P9481
|
FINISHED |
| Object | large-scale gallery spaces |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: large-scale gallery spaces | Statement: [Victoria Miro Gallery, hasExhibitionSpaceFeature, large-scale gallery spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitionSpaceFeature Context triple: [Victoria Miro Gallery, hasExhibitionSpaceFeature, large-scale gallery spaces]
-
A.
hasExhibitionArea
chosen
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
B.
hasExhibitionVenue
Indicates that an exhibition is held or hosted at a particular venue.
-
C.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
D.
exhibitionSpaceType
Indicates the specific kind or category of space used to display or present exhibitions.
-
E.
hasExhibitEnvironment
Indicates that an exhibit is associated with or situated within a particular environment or setting in which it is displayed.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487234fc08190b590f20caa431463 |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.